Optimizing Sparsely Patterned Polymer Brushes for Guiding Block Copolymers to Form Large-Scale Ordered Lines

IF 5.7 1区 化学 Q1 POLYMER SCIENCE
Macromolecules Pub Date : 2026-10-13 Epub Date: 2026-10-05 DOI:10.1021/acs.macromol.6c01537
Wenjing Zheng, Weihua Li, Qingliang Song
{"title":"Optimizing Sparsely Patterned Polymer Brushes for Guiding Block Copolymers to Form Large-Scale Ordered Lines","authors":"Wenjing Zheng,&nbsp;Weihua Li,&nbsp;Qingliang Song","doi":"10.1021/acs.macromol.6c01537","DOIUrl":null,"url":null,"abstract":"<p>Directed self-assembly (DSA), which combines the self-assembly of block copolymers with conventional photolithography, can improve lithographic precision by achieving density multiplication, and is thus regarded as one of the promising next-generation lithography techniques. One of the most applicable patterns fabricated via DSA is the high-density vertical stripe pattern, and its core challenge lies in controlling the defect concentration to an extremely low level. In principle, a properly designed guiding pattern can direct symmetric AB diblock copolymers to form thermodynamically stable stripes without any defects. However, guiding patterns generally have multiple critical parameters that are difficult to synergistically optimize in experiments, which lowers the thermodynamic stability of perfect stripe structures and accordingly increases the probability of generating defects. In this work, large-scale simulations are performed using coarse-grained molecular dynamics simulations to investigate the self-assembly of AB diblock copolymers guided by patterned templates consisting of periodically grafted homopolymer brushes and random copolymer brushes, focusing on the influences of the chemical affinity of homopolymer brushes, the length of polymer brushes, and the composition of copolymer brushes on the directing effect. Taking two-fold density multiplication (i.e., DM = 2) as an example, we find that individually increasing the chemical affinity or the brush length can broaden the compositional window of the copolymer brushes for forming defect-free stripes, yet the broadening effect is limited. Simultaneous optimization of these two key parameters can widen the compositional window to a much larger degree. It is revealed at the molecular scale that excessively strong affinity and overly long polymer brushes disrupt the formation of vertical stripes. Furthermore, a typical set of optimized parameters obtained for DM = 2 is directly applied to the case of DM = 3, and defect-free vertical stripes are successfully obtained in a number of independent simulations within a large area of 21<em>L</em><sub>0</sub> × 21<em>L</em><sub>0</sub> (<em>L</em><sub>0</sub> denotes the stripe period).</p>","PeriodicalId":51,"journal":{"name":"Macromolecules","volume":"59 19","pages":"10645–10657"},"PeriodicalIF":5.7000,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macromolecules","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.macromol.6c01537","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/10/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"POLYMER SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Directed self-assembly (DSA), which combines the self-assembly of block copolymers with conventional photolithography, can improve lithographic precision by achieving density multiplication, and is thus regarded as one of the promising next-generation lithography techniques. One of the most applicable patterns fabricated via DSA is the high-density vertical stripe pattern, and its core challenge lies in controlling the defect concentration to an extremely low level. In principle, a properly designed guiding pattern can direct symmetric AB diblock copolymers to form thermodynamically stable stripes without any defects. However, guiding patterns generally have multiple critical parameters that are difficult to synergistically optimize in experiments, which lowers the thermodynamic stability of perfect stripe structures and accordingly increases the probability of generating defects. In this work, large-scale simulations are performed using coarse-grained molecular dynamics simulations to investigate the self-assembly of AB diblock copolymers guided by patterned templates consisting of periodically grafted homopolymer brushes and random copolymer brushes, focusing on the influences of the chemical affinity of homopolymer brushes, the length of polymer brushes, and the composition of copolymer brushes on the directing effect. Taking two-fold density multiplication (i.e., DM = 2) as an example, we find that individually increasing the chemical affinity or the brush length can broaden the compositional window of the copolymer brushes for forming defect-free stripes, yet the broadening effect is limited. Simultaneous optimization of these two key parameters can widen the compositional window to a much larger degree. It is revealed at the molecular scale that excessively strong affinity and overly long polymer brushes disrupt the formation of vertical stripes. Furthermore, a typical set of optimized parameters obtained for DM = 2 is directly applied to the case of DM = 3, and defect-free vertical stripes are successfully obtained in a number of independent simulations within a large area of 21L0 × 21L0 (L0 denotes the stripe period).

优化用于引导嵌段共聚物形成大规模有序线的稀疏图案聚合物刷
摘要定向自组装(DSA)技术将嵌段共聚物的自组装与传统光刻技术相结合,可以通过实现密度倍增来提高光刻精度,被认为是下一代光刻技术的发展方向之一。高密度垂直条纹图案是DSA技术应用最广泛的图案之一,其核心挑战在于如何将缺陷浓度控制在极低的水平。原则上,设计合理的引导模式可以引导对称AB二嵌段共聚物形成无缺陷的热稳定条纹。然而,导图通常具有多个关键参数,在实验中难以协同优化,这降低了完美条纹结构的热力学稳定性,从而增加了缺陷产生的概率。本文采用粗粒度的分子动力学模拟方法,研究了AB二嵌段共聚物在周期性接枝的均聚刷和无规共聚物刷组成的模板引导下的自组装过程,重点研究了均聚刷的化学亲和力、聚合物刷的长度和共聚物刷的组成对定向效果的影响。以两倍密度乘法(即DM = 2)为例,我们发现单独增加化学亲和度或增加毛刷长度可以拓宽共聚物毛刷的组成窗口,以形成无缺陷条纹,但拓宽效果有限。同时优化这两个关键参数可以在更大程度上扩大组合窗口。在分子尺度上发现,过强的亲和力和过长的聚合物刷破坏了垂直条纹的形成。将DM = 2时得到的典型优化参数集直接应用于DM = 3时,在21L0 × 21L0 (L0为条纹周期)的大面积内进行了多次独立模拟,成功获得了无缺陷的垂直条纹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Macromolecules
Macromolecules 工程技术-高分子科学
CiteScore
9.30
自引率
16.40%
发文量
942
审稿时长
2 months
期刊介绍: Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书